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Connect RSS Feed Parser to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn messy web feeds into clean data for your agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through RSS Feed Parser.

  1. 01

    Parse rss feed

    This capability converts raw RSS 2.0 or Atom XML strings into structured JSON objects. It extracts up to 20 items including titles, links, publication dates, and content snippets.

Real work

What teams actually run

01

Competitor Monitoring

An agent tracks multiple competitor blogs and alerts you when new posts appear.

02

News Aggregation

Your agent pulls the latest industry news from various feeds into a single summary.

03

Podcast Management

Automate the extraction of episode URLs and durations for newsletter creation.

04

Content Curation

An agent filters specific categories or tags from a feed to build curated lists.

Automate a task

Put RSS Feed Parser to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

RSS Feed Parser works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put RSS Feed Parser to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

903ms average. Fast in production.

RSS Feed Parser is checked daily against the live service.

Daily averagePeak 1181ms
Oct 14Today
Fastest day
783ms
Slowest day
1181ms
14-day trend
Slowing+20%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of RSS Feed Parser, so you can see the experience inside your AI.

It does not authenticate your account with RSS Feed Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

RSS Feed Parser Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_a5btMvMYQkYOaHuseK7VyPebJN3JFtDdZNpVcWIr/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — RSS Feed Parser capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rss-feed-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a5btMvMYQkYOaHuseK7VyPebJN3JFtDdZNpVcWIr/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up RSS Feed Parser in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work RSS Feed Parser owners hand off.

This MCP is built for anyone running automated content or research agents that need reliable web data.

  • 01

    Content Marketers

    They hand off competitor monitoring and news aggregation to their agents.

  • 02

    Data Researchers

    They use agents to pull structured updates from specific industry news feeds.

  • 03

    Podcast Producers

    They automate the collection of episode metadata and audio links for distribution.

FAQ

Questions RSS Feed Parser owners ask.

  • 01

    Does this MCP work with Atom feeds?

    Yes, it parses both RSS 2.0 and Atom feeds into the same unified JSON structure.

  • 02

    How is this different from web scraping?

    It parses the XML from the feed directly. This avoids the noise, speed issues, and fragility of scraping HTML DOM elements.

  • 03

    Can I use this for podcasts?

    Yes, it extracts enclosure information including audio URLs, file sizes, and durations.

  • 04

    What kind of clients can use this?

    Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this MCP.

  • 05

    How many items can it parse at once?

    The capability returns up to 20 items per feed request.

  • 06

    Does it work with podcast feeds?

    Yes. Podcast RSS feeds include enclosure elements with audio/video URLs, MIME types, and file sizes. The parser extracts all of them.

  • 07

    Can it handle both RSS 2.0 and Atom?

    Yes. Both formats are auto-detected and parsed into the same unified JSON structure. Your agent doesn't need to know which format the source uses.

  • 08

    Does it fetch the feed URL or do I pass the XML?

    Pass the feed URL and the engine fetches + parses in one step. No manual XML handling needed.

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